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Development Of Fingerprint Biometric Attendance Management System Using Wireless Connectivity

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International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169
Volume: 3 Issue: 3 1617 - 1620
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1617
IJRITCC | March 2015, Available @ http://www.ijritcc.org
_______________________________________________________________________________________
Development of Fingerprint Biometric Attendance Management System using
Wireless Connectivity
Prof. Avanti Thakkar
Assistant Professor,
Dept. of Computer Engineering
MMCOE Karvenagar, Pune.
Maharashtra-India
Bhalerao Prateek
Dept. of Computer Engineering
MMCOE Karvenagar, Pune.
Maharashtra-India
prateekbhalerao.comp@mmcoe.edu.in
Deshmane Rahul
Dept. of Computer Engineering
MMCOE Karvenagar, Pune.
Maharashtra-India
Email: rahul.deshmane35@gmail.com
Gadikar Akshay
Dept. of Computer Engineering
MMCOE Karvenagar, Pune
Maharashtra-India
Email: akshayug@gmail.com
Rajurkar Atharva
Dept of Computer Engineering
MMCOE Karvenagar,Pune.
Maharashtra-India
Email: atharva.rajurkar@gmail.com
Abstract -In this paper, we propose an integrated biometric access system for attendance management based on fingerprint identification and
authentication for restricted area using wireless connectivity. Maintaining the attendance record in institutions, companies and organisations is
an imperative factor, maintaining so manually is herculean task. Along with it, institutions with single machine and more crowd makes this work
more complicated to make this easier, an efficient Biometric Fingerprint Attendance Management system is proposed. This system registers the
user and accepts biometric input through use of mobile network, and all records will be saved for subsequent operations. Since input image is
accepted through mobile, it provides greater portability and reduces need for any specific biometric hardware, which in turn reduces the
hardware cost. It further provides and facilities to calculate and generate monthly report of attendance in order to reduce any human errors
during calculations. Thus, the proposed system will help to improve the productivity of any organization if properly implemented.
Keywords- Institution, Attendance, Biometric, Fingerprint, Image Matching.
__________________________________________________*****_________________________________________________
I. INTRODUCTION
Today, Secure and reliable user-authentication is an
unavoidable need, and hence for user- authentication
Biometric systems are widely used [2.] Biometric
technologies are becoming the foundation for highly secure
identification and personal verification solutions./ Biometric
applications have the potential to offer much more robust
authentication/identification security than traditional
systems (eg: passwords or pass codes ,PINs , tokens). The
main goal of applying biometrics to user authentication is to
provide security to users and detect imposters in terms of
users physiological (e.g. fingerprint, face, iris, hand) or
behavioural characteristics (e.g. speech, keystroke
dynamics).[7][8] Owing to the unique biometric
characteristic that every person possesses, utilization of the
same can be done in a form of identity access management.
Ever since their inception, Fingerprint based biometric
authentication and verification systems have gained
immense popularity and acceptance. This is primarily
because of the ease of operation, installation and easy
acquisition of the biometric feature, which in this case is a
fingerprint. Implementing fingerprint recognition system is
secure to use since the uniqueness of one’s fingerprint does
not change in user’s lifetime.[1][9]
The popularity of mobile devices is undeniable. According
to the International Data Corporation (IDC), more
smartphones were sold in 2012 than desktop and laptop
computers combined. This rise may be due to increasing
functionality and technological advances which in turn
supports greater functionality. [6]. Thus, the frequency with
which smartphone owners use their devices, these devices
can be used along with biometrics to provide certain
advantages. [2][3][4].
The main characteristics of the proposal system are:
1) Dependency on biometric hardware is reduced.
2) Due to reduced dependency, cost of the system as whole
is reduced.
3) Provides increased portability to system.
II. LITERATURE REVIEW
Today, biometric is being spotlighted as the authentication
method because of the need for reliable security. 80% of
public has biometric recorded. Thus, it is very well accepted
in the government and also in the private sectors for better
security. It has a long history in judicial science, complete
with many studies which back up the use of fingerprints for
identification. This honorable history gives it weight and
faith which are not available to newer identification systems.
Fingerprint identification is widely understand as highly
accurate and very trustworthy, since the statistical chance of
two people on Earth having identical fingerprints is very
low.
Most of the attendance systems use paper based methods for
tracking and calculating attendance. Previously little work
has been done regarding academic attendance monitoring

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International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169
Volume: 3 Issue: 3 1617 - 1620
_______________________________________________________________________________________________
1618
IJRITCC | March 2015, Available @ http://www.ijritcc.org
_______________________________________________________________________________________
problem. Some software’s have been previously designed to
keep track of attendance.
During the 14th century, in China, a European explorer,
Joao de Barros recorded the first known example of
fingerprinting, which is a form of biometrics. Chinese
merchants used ink to take children's fingerprints for
identification purposes. Oloyede et al. (2013) carried out an
extensive research on applicability of biometric technology
to solve the problem of staff attendance. However, the
researchers did not provide any software to address the
problems of attendance. Derawi et al. (2012) proposed an
approach of applying cell phone cameras to capturing
fingerprint images and evaluated up to 1320 fingerprint
images from some embedded capturing devices like Nokia
N95. The results indicated that an equal error rate (EER) of
4.5% could be achieved. In addition, Sin et al. (2012)
proposed a template updating system for fingerprint
verification where templates were replaced with matched
inputs for a target structure. The system presented an ERR
of 2% after updating in the evaluation and they further
argued that their system was adopted on practical mobile
phones in the commercial market from 2009. [2]
As fingerprint recognition can provide high
authentication accuracy, more and more mobile firms
recently started to integrate this technique with their
developed new phones. Apple applied the fingerprint
recognition to the iPhone 5s, while HTC also released the
newest Android phone of HTC one max with a fingerprint
scanner.
Also, biometrics system has been very useful in the
education sector (Library management to keep records of
borrowing and returning of books). Tabassam, Saim, Arash,
and Azhar-ud-din (2009), developed a system that takes
students lectures attendance while entering the lecture
rooms. It is a fingerprint based model. This was designed for
student only. According to [3], a biometric-based model
called “School Attendance Management System (SAMS)”
was developed. SAMS is a biometrics and RFID (Radio
Frequency identification) based comprehensive attendance
management system for schools and colleges. SAMS was
design by in order to provide robust, secure and
automatic attendance management system for both, students
and staff. SAMS has an inbuilt facility of sending automatic
SMS and Email alerts to the Parents/Guardians of the
students. Furthermore, biometrics can be integrated with
other systems for it to carry out its purpose of identification.
E.Gokulakrishnan, S.Asha (2014), have provided research
work on “MULTIMODAL BIOMETRICS USING
MOBILE PHONE”.
 PROPOSED SYSTEM ARCHITECTURE:
According to proposal, the modules are as follows
i). Data Capturing and Pre-processing: The fingerprint is
captured from the mobile scanner. The non-overlapping and
unwanted regions are removed by pre- processing.
ii). Feature Extraction Pattern: The algorithm used in
Feature Extraction Pattern is Filter Bank Based
Fingerprint Matching.
iii). Decision Making: The template stored in the database
is compared with the processed input image...
iv). Output: If the pattern is matched, then the attendance of
the user is marked in the database.
III. SYSTEM IMPLEMENTATION
A. Data Capturing and Pre-processing:
In practice, the placement of finger on the
scanner for authentication is not done with extreme
care as when placed during the registration or daily
utilization and this results in rejection. . Thus, the
genuine acceptance rate (GAR) for authentication of
fingerprints decrease. The pre-processing algorithm is
used to achieve good vertical orientation and high ridge
curvature area around the core point for fingerprint to
overcome this limitation.
The algorithm is implemented in two stage, First being,
the process of obtaining the vertical oriented fingerprint
image. The core point detection of a fingerprint is followed.
Thus core point detection is efficiently identified. The
developed algorithm is tested using a line based feature
extraction algorithm with a large internal database and
samples of fingerprint verification competition. With the
proposed algorithm, the tested images were oriented
vertically and its genuine is verified by comparing the
details of the oriented and un- oriented image of the
same subject. .Thus the fingerprint is captured from the
mobile reader or scanner.
Feature Extraction Pattern [12]:
The algorithm used in Feature Extraction Pattern is
Filter Bank Based Fingerprint Matching. The steps
involved in Feature Extraction is as follows
1. Have to determine a reference point and region of interest
for the fingerprint image.
a. Manually choose the reference point.
b. The appropriate orientation field is computed
and identification masks are used.
c. Poincare Index method.

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International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169
Volume: 3 Issue: 3 1617 - 1620
_______________________________________________________________________________________________
1619
IJRITCC | March 2015, Available @ http://www.ijritcc.org
_______________________________________________________________________________________
2. The region of interest around the reference point is
determined.
a. The region of eight different directions
using a bank of Gabor filters is filtered.
3. The average absolute deviation from the mean
(AAD) of gray values in individual sectors is computed in
filtered images to define the feature vector or the
finger code[12].
4. Try to find directional field[12]
Oy=⅀ 𝐺𝑥 𝑢, 𝑣 − 𝐺𝑦 𝑢, 𝑣
𝑗 +
𝑤
2
𝑗+𝑤 2
u=i-w/2
v=j-w/2
θ(i,j)=1/2tan-1
(Ox(i,j)/Oy(i,j))
Where Gx(u,v) Gy(u,v) are the gradients at
each pixel.θ(i,j) is the direction of the block (i,j).
5. Detect the singular point
a. Smooth the directional field of input
fingerprint image and estimate it.
b. To compute the Poincare index in each block
(8*8). The Poincare index is computed as
follows:
Poincare (i, j) = 1/2Π∑
(k)= {
δ(k)=θ(X(k’),Y(k’))-θ(X(k),Y(k)),k’=(k+1) mod N
Where θ (i, j) is the directional field of fingerprint.
X(k),Y(k) are the coordinates of the blocks which are
in the closed curve with N blocks. The Poincare Index is
said to be core block if it results in ½. The core point is the
centre of this block. If more than two core points are
detected, go to step 1.
3.Decision Making[12]
The template stored in the database is compared with the
processed image. If both the features (fingerprint) are same
then attendance of the user will be marked. If the features
are not same then it will not be considered.
The proposed staff biometric attendance system takes
attendance electronically. This system was implemented
using Java programming language at front end and MySQL
for database. It involves the interaction with the central
database which contains all records of staff. The records
provide details of attendance taken as well as the monthly
summary attendance report can be generated and viewed
along with IN and OUT timings[12].
ENROLMENT PHASE:
This phase involves registration of user. Registration is
necessary in order to uniquely identify each user of the
proposed system .Each staff member is required to register
certain personal information like staff fingerprint, names,
phone number, email address, sex, occupation, state of
origin, house address, as well as academic information like
staff id, department, and designation. The registered
information is then stored in database.
IDENTIFICATION PHASE:
The identification is accomplished by comparing the input
image with stored template in the database. If both the
fingerprints are matched, then it is considered as a positive
match.
ATTENDANCE REPORT:
This report interface can be accessed under the report menu,
where daily attendance of all staff can be generated. The
attendance of each staff member per day is stored on the
database. Thus the system allows the database administrator
to view the attendance report as well as a summary report on
monthly basis.
IV. ACKNOWLEDGEMENT
We are working on this project under the guidance of Prof.
Avanti Thakkar, Assistant Professor at MMCOE College of
Engineering, Karvenagar PUNE.
V. CONCLUSION
Traditionally, manual attendance method, which involves
pen, and paper results in very tedious work. The
implementation of an electronic biometric-based method of
attendance management system using wireless connectivity
will greatly assist institutions or any organization and
thereby prevents time-consuming processes. Staff biometric
attendance system provides the administrator with easy
access to staff attendance information as well as easy
monitoring of monthly attendance summary. This will
improve the net productivity of institutions or any
organization. The proposed system is reliable, secure,
efficient, and capable of replacing the traditional manual and
unreliable method of attendance management. It helps to
provide portability, ease of access to user. It also reduces the
cost of actual biometric hardware required by using mobile
based scanner. The proposed system can be improved
through the integration of multimodal biometric
technologies to provide more security for the staff
attendance management system.
REFERENCES
[1] Adewole K. S., Abdulsalam S. O., Babatunde R. S., Shittu
T. M.and Oloyede M. O., “Development of Fingerprint
Biometric Attendance System for Non-Academic Staff in
a Tertiary Institution” in Computer Engineering and
Intelligent Systems (www.iiste.org) ISSN 2222-1719
(Paper) ISSN 2222-2863 (Online) Vol.5, No.2, 2014.
[2] Weizhi Meng, Duncan S. Wong, Steven Furnell, and
Jianying Zhou, “Surveying the Development of Biometric
User Authentication on Mobile Phones” in
10.1109/COMST.2014.2386915, IEEE Communications
Surveys & Tutorials.